Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for providing assistance to a user viewing an online video, the method comprising: receiving, by one or more computer processors, an online video; determining, by one or more computer processors, that an uncommon action occurs with an associated start and stop time within the received online video; identifying, by one or more computer processors, prior stored viewing occurrences of the received online by another users that include stored issues, wherein the stored issues occurs within a tolerance of the identified start and stop time; automatically determining, by one or more computer processors, an issue that the user experiences based on the stored issues within the identified prior stored viewing occurrences, wherein the issue hinders the ability of the user to understand the content of the received online video; providing, by one or more computer processors, the automatically determined issue to the user; receiving, by one or more computer processors, an update to the automatically determined issue; sending, by one or more computer processors, the updated issue to one or more concurrent users wherein the concurrent users include users that are currently online and viewing the received online video and users that are currently online and previously viewed the received online video; receiving, by one or more computer processors, one or more responses associated with the updated issue from the one or more concurrent users, wherein the one or more responses are received in real-time and provide an answer to the updated issue; identifying, by one or more computer processors, an at least one response from the received one or more responses associated with the updated issue based on locating keywords of the updated issue within structures of the received one or more responses that determine relevance; and providing, by one or more computer processors, the identified at least one response.
This invention relates to a system for enhancing user understanding of online videos by detecting and resolving issues that hinder comprehension. The method involves analyzing a video to identify uncommon actions or events, such as technical glitches, unclear explanations, or confusing transitions, and determining their start and stop times. The system then searches a database of prior viewing occurrences by other users to find stored issues that align with these time intervals. Based on this data, the system automatically detects potential issues that may confuse the current viewer and presents them to the user. The user can then update or clarify the issue, which is sent to other concurrent viewers—both those currently watching the video and those who have viewed it before. The system collects real-time responses from these users, analyzes them for relevance by matching keywords and contextual structures, and provides the most relevant answers back to the original user. This collaborative approach helps users quickly resolve misunderstandings and improves the overall viewing experience by leveraging collective knowledge from past and present viewers.
2. The method of claim 1 , further comprising; receiving, by one or more computer processors, a submission of the automatically determined issue; performing, by one or more computer processors, a content analysis of the automatically determined issue and stored issues from the another users, wherein the content analysis identifies one or more similar issues within the stored issues from the another users; calculating, by one or more computer processors, a frequency of occurrence associated with the automatically determined issue, based on the performed content analysis; determining, by one or more computer processors, whether the frequency of occurrence associated with the automatically determined issue at least meets a threshold, wherein the threshold is a percentage of a total number of users for a time period that encounter the automatically determined issue and the identified one or more similar issues; responsive to determining that the frequency of occurrence associated with the automatically determined issue at least meets the threshold, inserting, by one or more computer processors, a new caption into the received online video for a portion of the received online video associated with the determined issue, wherein the caption is based on the identified at least one response that provides the answer from the another users; updating, by one or more computer processors, the received online video with the inserted new caption; and storing, by one or more computer processor, the updated online video that includes the inserted new caption as the received online video.
This invention relates to automated issue detection and resolution in online videos, particularly for identifying and addressing common problems encountered by users. The system analyzes user interactions with online videos to automatically detect issues, such as errors, confusion, or difficulties, based on user behavior or feedback. When an issue is detected, the system submits it for further analysis. The system then performs a content analysis to compare the detected issue with stored issues from other users, identifying similar problems. It calculates the frequency of occurrence for the issue, determining whether it meets a predefined threshold based on the percentage of users affected over a specific time period. If the threshold is met, the system inserts a new caption into the video, derived from responses that resolved the issue for other users. The video is then updated with this caption and stored for future viewing. This approach enhances user experience by dynamically adding explanatory captions to address frequently encountered issues, reducing confusion and improving comprehension. The system leverages collective user feedback to automatically generate and integrate helpful annotations into video content.
3. The method of claim 1 , wherein determining that the uncommon action occurs further comprises: monitoring, by one or more computer processors, individual instances of user actions with respect to the received online video for a repeating pattern, wherein the user actions includes a change to a rate of playback and a keyword search; incrementing, by one or more computer processors, a frequency of occurrence associated with the individual instances of user actions; determining, by one or more computer processors, whether the frequency of occurrence associated with the individual instances of user actions at least meets a threshold; and responsive to determining that the frequency of occurrence associated with the individual instance of the user actions at least meets the threshold, identifying, by one or more computer processors, the individual instance of user actions as an uncommon action.
This invention relates to detecting uncommon user actions in online video playback to improve content delivery or user experience. The problem addressed is identifying patterns of user behavior that deviate from typical interactions, such as adjusting playback speed or performing keyword searches, which may indicate user dissatisfaction or interest in specific content. The method involves monitoring individual user actions on an online video, including changes to playback rate and keyword searches, to detect repeating patterns. Each instance of these actions is tracked, and their frequency of occurrence is incremented. The system then determines whether the frequency meets or exceeds a predefined threshold. If the threshold is met, the specific user action is identified as an uncommon action, suggesting it may warrant further analysis or intervention, such as adjusting video recommendations or playback settings. The approach helps content providers or platforms recognize when users are engaging in atypical behavior, which may signal issues like confusing content, poor video quality, or high user interest in certain segments. By identifying these patterns, the system can enhance user experience or optimize content delivery. The method relies on automated processing to analyze user interactions and statistically determine when actions become statistically significant enough to be considered uncommon.
4. The method of claim 1 , wherein receiving one or more responses associated with the updated issue further comprises: sending, by one or more computer processors, a request for a response to the one or more concurrent users, wherein the request for the response includes the updated issue; receiving, by one or more computer processors, one or more responses from the identified one or more concurrent users; and storing, by one or more computer processors, the received one or more responses.
This invention relates to a collaborative issue resolution system that facilitates real-time interaction among multiple users to address and resolve issues. The system enables concurrent users to receive and respond to updated issues, ensuring efficient and coordinated problem-solving. The method involves sending a request for a response to the identified concurrent users, where the request includes the updated issue. The system then receives responses from these users and stores the received responses for further processing or analysis. This approach enhances collaboration by ensuring that all participants are aware of the latest issue updates and can contribute their input in a structured manner. The stored responses can be used to track progress, identify solutions, or generate reports on the resolution process. The system is particularly useful in environments where multiple stakeholders need to work together to address complex or evolving problems, such as in software development, customer support, or project management. By automating the request and response process, the system reduces communication delays and improves the efficiency of collaborative problem-solving.
5. The method of claim 4 , further comprising: extracting, by one or more computer processors, one or more keywords for the determined issue; identifying, by one or more computer processors, one or more responses associated with the received online video from memory based on natural language processing and content analysis of the one or more keywords within the determined issue; retrieving, by one or more computer processors, one or more responses from memory that include the determined issue; and adding, by one or more computer processors, the retrieved one or more responses from memory to the received one or more responses.
This invention describes a system that assists users viewing online videos. When a user performs an "uncommon action" at a specific point in a video (e.g., repeatedly changing playback speed or conducting a keyword search, indicating confusion), the system automatically identifies a potential understanding issue they might be experiencing. This issue is determined by analyzing previously stored problems encountered by other users at that same video segment. The identified issue is presented to the current user. If the user provides an updated description of their problem, the system sends this updated issue to "concurrent users" – both those currently watching the video and those who have recently viewed it – requesting their responses in real-time. To further enhance the assistance, the system also extracts keywords from the determined user issue. It then performs natural language processing (NLP) and content analysis on these keywords to identify and retrieve relevant responses from its stored memory that are associated with the video and contain information pertaining to the determined issue. These historical responses are then added to the real-time responses collected from concurrent users, creating a more comprehensive pool of potential answers to be provided to the user. ERROR (embedding): Error: Failed to save embedding: Could not find the 'embedding' column of 'patent_claims' in the schema cache
6. The method of claim 4 , further comprising: performing, by one or more computer processors, an Internet search based on the updated issue; and adding, by one or more computer processors, the Internet search results to the received one or more responses, wherein the Internet search results include one or more of: online videos with related content, related titles, and a description that includes the extracted one or more keywords.
This invention relates to an automated system for enhancing responses to user queries by integrating internet search results with extracted keywords. The system addresses the problem of providing comprehensive and contextually relevant information by dynamically supplementing user responses with additional online resources. The method involves receiving one or more responses to a user query, extracting keywords from these responses, and updating the original query with these keywords. The updated query is then used to perform an internet search, which retrieves results such as online videos, related titles, and descriptions that incorporate the extracted keywords. These search results are combined with the original responses to create an enriched output. The system ensures that the additional content is directly relevant to the user's query by leveraging the extracted keywords, thereby improving the depth and accuracy of the information provided. This approach enhances user experience by offering a broader range of resources, including multimedia content, that align with the original query and its refined context. The method is particularly useful in applications requiring detailed, multi-source information retrieval, such as research, customer support, or educational tools.
7. The method of claim 1 , wherein identifying the at least one response from the received one or more responses associated with the updated issue further comprises: analyzing, by one or more computer processors, the received one or more online responses with respect to answering the updated issue; calculating, by one or more computer processors, a probability for each instance of the analyzed one or more online responses based on the extracted one or more keywords and an associated user review rating of the each instance of the analyzed one or more online responses, wherein the probability for each instance of the analyzed one or more online responses predicts a likelihood that the each instance of the analyzed one or more online responses provides an answer to the updated issue, wherein the associated user review rating is a rating factor that indicates a usefulness of each instance of the analyzed one or more online responses as perceived by one or more prior users; ranking, by one or more computer processors, the one or more online responses based on the calculated probability, wherein the ranking is based from a highest probability to a lowest probability; and selecting, by one or more computer processors, at least the highest probability from the ranked one or more online responses as the at least one response.
This invention relates to a method for identifying relevant online responses to an updated issue by analyzing and ranking responses based on their likelihood of providing an answer. The method involves analyzing received online responses to determine their relevance to the updated issue. Each response is evaluated by extracting keywords and considering user review ratings, which indicate the perceived usefulness of the response as rated by prior users. A probability is calculated for each response, predicting how likely it is to answer the updated issue. Responses are then ranked from highest to lowest probability, and the highest-ranking response is selected as the most relevant answer. This approach ensures that responses with higher perceived usefulness and relevance are prioritized, improving the accuracy of the selected answer. The method leverages computational analysis to filter and rank responses efficiently, addressing the challenge of identifying the most helpful information from a large set of online responses.
8. The method of claim 1 , wherein determining the one or more concurrent users that are currently active at a website that includes the online video further comprises: determining by one or more computer processors, the one or more users based on an online user that is viewing the received online video at the same time as the user and an online user that previously viewed the received online video; determining, by one or more computer processors, a subset of the determined one or more users based on a percentage of a total number of the determined one or more users, a maximum number of the determined one or more users, a geographic region associated with the determined one or more users that is a same geographic location of the user, and viewing placement within the received online video associated with the determined one or more users is after the determined issue; and selecting, by one or more computer processors, the determined subset as the one or more concurrent users.
This invention relates to identifying concurrent users actively engaged with an online video to enhance user interaction. The problem addressed is the need to dynamically determine relevant concurrent viewers for real-time engagement, such as chat or collaborative features, while filtering out irrelevant users. The method involves analyzing users currently watching the same online video as a reference user and those who previously viewed it. A subset of these users is selected based on multiple criteria: a percentage or maximum limit of the total identified users, geographic proximity to the reference user, and their viewing position within the video. Specifically, the subset includes users whose playback position is after a detected issue (e.g., a technical problem or content event) in the video. This ensures the selected users are likely to encounter the same issue or context, enabling meaningful interactions. The system processes these determinations using computer processors to refine the user group for targeted engagement. The approach optimizes real-time collaboration by focusing on the most relevant concurrent viewers.
9. A computer program product for providing assistance to a user viewing an online video, the computer program product comprising: one or more computer readable storage medium and program instructions stored on the one or more computer readable storage medium, the program instructions comprising: program instructions to receive an online video; program instructions to determine that an uncommon action occurs with an associated start and stop time within the received online video; program instructions to identify prior stored viewing occurrences of the received online by another users that include stored issues, wherein the stored issues occurs within a tolerance of the identified start and stop time; program instructions to automatically determine an issue that the user experiences based on the stored issues within the identified prior stored viewing occurrences, wherein the issue hinders the ability of the user to understand the content of the received online video; program instructions to provide the automatically determined issue to the user: program instructions to receive an update to the automatically determined issue: program instructions to send the updated issue to one or more concurrent users wherein the concurrent users include users that are currently online and viewing the received online video and users that are currently online and previously viewed the received online video; program instructions to receive one or more responses associated with the updated issue from the one or more concurrent users, wherein the one or more responses are received in real-time and provide an answer to the updated issue; program instructions to identify an at least one response from the received one or more responses associated with the updated issue based on locating keywords of the updated issue within structures of the received one or more responses that determine relevance; and program instructions to provide the identified at least one response.
This invention relates to a system for enhancing user understanding of online videos by detecting and addressing issues that hinder comprehension. The system analyzes a received online video to identify uncommon actions or events occurring within specific time ranges. It then searches a database of prior viewing occurrences by other users to find stored issues that align with the detected time ranges. Based on these historical issues, the system automatically determines a specific problem the current user is experiencing, such as confusion or missing context, that impedes their understanding of the video content. The identified issue is presented to the user, who can update or refine it. The updated issue is then shared with other concurrent users—those currently watching the video or who have viewed it previously. These users can provide real-time responses to the issue, which the system evaluates for relevance by analyzing keywords and response structure. The most relevant responses are selected and provided to the user, helping them resolve their confusion. This approach leverages collective knowledge to improve video comprehension dynamically.
10. The computer program product of claim 9 , further comprising program instructions, stored on the one or more computer readable storage medium, to; receive a submission of the automatically determined issue; perform a content analysis of the automatically determined issue and stored issues from the another users, wherein the content analysis identifies one or more similar issues within the stored issues from the another users; calculate a frequency of occurrence associated with the automatically determined issue, based on the performed content analysis; determine whether the frequency of occurrence associated with the automatically determined issue at least meets a threshold; responsive to determining that the frequency of occurrence associated with the determined issue at least meets the threshold, insert a new caption into the received online video for a portion of the received online video associated with the determined issue, wherein the caption is based on the identified at least one response that provides the answer from the another users; updating, by one or more computer processors, the received online video with the inserted new caption; and storing, by one or more computer processor, the updated online video that includes the inserted new caption as the received online video.
This invention relates to automated issue detection and resolution in online videos. The system identifies problems or questions within a video, analyzes them against a database of previously resolved issues from other users, and inserts explanatory captions when a recurring issue is detected. The process begins by receiving a submitted issue from a video, then performing content analysis to find similar issues in stored data. The system calculates how often the issue appears and, if it meets a frequency threshold, inserts a caption derived from prior user responses. The video is then updated with this caption and stored. This approach enhances video content by automatically adding context or solutions to frequently encountered problems, improving user understanding without manual intervention. The system leverages collective knowledge from past interactions to dynamically enhance video content, addressing the challenge of providing timely, relevant information to viewers. The solution is particularly useful for educational, tutorial, or troubleshooting videos where recurring questions or issues are common.
11. The computer program product of claim 9 , wherein to determine that the uncommon action occurs further comprises program instructions, stored on the one or more computer readable storage medium, to: monitor individual instances of user actions with respect to the received online video for a repeating pattern, wherein the user actions includes a change to a rate of playback and a keyword search; increment a frequency of occurrence associated with the individual instances of user actions; determine whether the frequency of occurrence associated with the individual instances of user actions at least meets a threshold; and responsive to determining that the frequency of occurrence associated with the individual instance of the user actions at least meets the threshold, identify the individual instance of user actions as an uncommon action.
This invention relates to analyzing user interactions with online video content to identify uncommon actions. The problem addressed is detecting patterns of user behavior that deviate from typical engagement, such as specific playback adjustments or keyword searches, which may indicate areas of confusion, interest, or technical issues. The system monitors individual user actions related to video playback, including changes in playback rate and keyword searches. Each action instance is tracked, and its frequency of occurrence is incremented. The system then evaluates whether this frequency meets or exceeds a predefined threshold. If the threshold is met, the action is flagged as an uncommon action, suggesting it warrants further attention, such as content optimization or user experience improvements. The analysis helps content providers and platforms refine video delivery and user engagement strategies based on observed behavioral patterns. The method ensures that only statistically significant deviations are identified, reducing noise from isolated or random actions.
12. The computer program product of claim 9 , wherein to receive one or more responses associated with the updated issue further comprises program instructions, stored on the one or more computer readable storage medium, to: send a request for a response to one or more concurrent users, wherein the request for the response includes the updated issue; receive one or more responses from the identified one or more concurrent users; and store the received one or more responses.
This invention relates to a computer program product for managing issue resolution in collaborative environments. The problem addressed is the need for efficient and coordinated responses to updated issues in real-time collaborative systems, where multiple users may need to provide input or feedback simultaneously. The system involves a computer program product that includes program instructions stored on a computer-readable storage medium. These instructions enable a computing device to receive and process responses to an updated issue from multiple concurrent users. The process begins by sending a request for a response to one or more concurrent users, where the request includes the updated issue. The system then receives one or more responses from the identified users and stores these responses for further processing or analysis. The updated issue may have been modified based on prior responses or other inputs, ensuring that the latest information is considered in the collaborative resolution process. The system ensures that all relevant users are promptly notified and can contribute to resolving the issue, improving coordination and efficiency in collaborative workflows. The stored responses can be used for tracking, decision-making, or further refinement of the issue.
13. The computer program product of claim 12 , further comprising program instructions, stored on the one or more computer readable storage medium, to: extract one or more keywords for the determined issue; identify one or more responses associated with the received online video from memory based on natural language processing and content analysis of the one or more keywords within the determined issue; retrieve one or more responses from memory that include the determined issue; and add the retrieved one or more responses from memory to the received one or more responses.
This invention relates to automated response generation for online video content, specifically addressing the challenge of efficiently identifying and integrating relevant responses to user-reported issues within video platforms. The system extracts keywords from a user-submitted issue description, then uses natural language processing (NLP) and content analysis to match those keywords against stored responses. The system retrieves responses that directly address the identified issue and supplements the initial set of responses with these additional matches. This enhances the quality and comprehensiveness of responses provided to users, ensuring that all relevant information is included. The approach leverages pre-existing response data to dynamically expand the scope of answers, improving user engagement and problem resolution efficiency. The solution is particularly useful in moderation systems, customer support platforms, or community-driven video sites where timely and accurate responses are critical. By automating the response enrichment process, the system reduces manual effort while increasing the accuracy and relevance of the information provided to users.
14. The computer program product of claim 12 , further comprising program instructions, stored on the one or more computer readable storage medium, to: perform an Internet search based on the updated issue; and add the Internet search results to the received one or more responses, wherein the Internet search results include one or more of: online videos with related content, related titles, and a description that includes the extracted one or more keywords.
This invention relates to an automated system for enhancing responses to user queries by integrating external internet search results. The system addresses the problem of providing comprehensive and contextually relevant information by dynamically supplementing initial responses with additional data sourced from online searches. The system receives one or more responses to a user query, extracts keywords from these responses, and updates the original query with these keywords to refine the search. It then performs an internet search based on the updated query and incorporates the search results into the original responses. The search results may include online videos with related content, related titles, and descriptions that include the extracted keywords. This approach ensures that the final output is enriched with diverse and up-to-date information, improving the depth and relevance of the response. The system is designed to operate on one or more computer-readable storage media, executing program instructions to automate the keyword extraction, query refinement, and result integration processes. This method enhances the accuracy and comprehensiveness of information retrieval for user queries.
15. The computer program product of claim 9 , wherein to identify the at least one response from the received one or more responses associated with the updated issue further comprises program instructions, stored on the one or more computer readable storage medium, to: analyze the received one or more online responses with respect to answering the updated issue; calculate a probability for each instance of the analyzed one or more online responses based on the extracted one or more keywords and an associated user review rating of the each instance of the analyzed one or more online responses, wherein the probability for each instance of the analyzed one or more online responses predicts a likelihood that the each instance of the analyzed one or more online responses provides an answer to the updated issue, wherein the associated user review rating is a rating factor that indicates a usefulness of each instance of the analyzed one or more online responses as perceived by one or more prior users; rank the one or more online responses based on the calculated probability, wherein the ranking is based from a highest probability to a lowest probability; and select at least the highest probability from the ranked one or more online responses as the at least one response.
This invention relates to a system for analyzing online responses to an issue, particularly in the context of user-generated content such as reviews or forum posts. The problem addressed is the difficulty in identifying the most relevant and useful responses from a large set of online content, where responses may vary in quality, relevance, and usefulness. The system processes one or more online responses associated with an updated issue, such as a product question or technical problem. It analyzes these responses to determine their relevance to the issue by extracting keywords and evaluating user review ratings. Each response is assigned a probability score based on the extracted keywords and the associated user review rating, which reflects the perceived usefulness of the response as judged by prior users. The responses are then ranked from highest to lowest probability, and the response with the highest probability is selected as the most likely answer to the issue. This approach ensures that the most relevant and highly regarded responses are prioritized, improving the accuracy and reliability of the information provided. The system leverages both keyword analysis and user feedback to enhance the selection process, making it particularly useful in environments where user-generated content is abundant but varied in quality.
16. A computer system for providing assistance to a user viewing an online video, the computer system comprising: one or more computer processors, one or more computer readable storage media, and program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive an online video; program instructions to determine that an uncommon action occurs with an associated start and stop time within the received online video; program instructions to identify prior stored viewing occurrences of the received online by another users that include stored issues, wherein the stored issues occurs within a tolerance of the identified start and stop time; program instructions to automatically determine an issue that the user experiences based on the stored issues within the identified prior stored viewing occurrences, wherein the issue hinders the ability of the user to understand the content of the received online video; program instructions to provide the automatically determined issue to the user; program instructions to receive an update to the automatically determined issue; program instructions to send the updated issue to one or more concurrent users wherein the concurrent users include users that are currently online and viewing the received online video and users that are currently online and previously viewed the received online video; program instructions to receive one or more responses associated with the updated issue from the one or more concurrent users, wherein the one or more responses are received in real-time and provide an answer to the updated issue; program instructions to identify an at least one response from the received one or more responses associated with the updated issue based on locating keywords of the updated issue within structures of the received one or more responses that determine relevance; and program instructions to provide the identified at least one response.
The system assists users in understanding online videos by detecting and addressing issues that hinder comprehension. The system processes a received online video to identify uncommon actions occurring within specific time ranges. It then searches stored viewing data from other users to find prior occurrences of similar issues within those time ranges. Based on this data, the system automatically determines a specific issue the current user is experiencing, such as confusing content or technical difficulties, and presents it to the user. The system allows the user to update the issue, which is then shared with other users currently or previously viewing the same video. Concurrent users can provide real-time responses to the updated issue. The system analyzes these responses by identifying relevant keywords and structures to determine the most helpful answer, which is then provided to the user. This collaborative approach enhances video comprehension by leveraging collective user feedback.
17. The computer system of claim 16 , further comprising program instructions, stored on the one or more computer readable storage media, to; receive a submission of the automatically determined issue; perform a content analysis of the automatically determined issue and stored issues from the another users, wherein the content analysis identifies one or more similar issues within the stored issues from the another users; calculate a frequency of occurrence associated with the automatically determined issue, based on the performed content analysis; determine whether the frequency of occurrence associated with the automatically determined issue at least meets a threshold; responsive to determining that the frequency of occurrence associated with the determined issue at least meets the threshold, insert a new caption into the received online video for a portion of the received online video associated with the determined issue, wherein the caption is based on the identified at least one response that provides the answer from the another users; updating, by one or more computer processors, the received online video with the inserted new caption; and storing, by one or more computer processor, the updated online video that includes the inserted new caption as the received online video.
This invention relates to a computer system for analyzing and addressing issues in online videos by leveraging user-generated responses. The system identifies issues within a video, such as errors or unclear content, and compares them against a database of previously reported issues from other users. It performs content analysis to detect similar issues and calculates their frequency of occurrence. If the frequency meets a predefined threshold, the system inserts a caption into the video that provides a solution based on responses from other users. The caption is placed at the relevant portion of the video, and the updated video is stored for future access. This approach automates the process of flagging and resolving common issues in online videos, improving content quality and user experience by incorporating crowd-sourced solutions. The system enhances video accessibility and reduces the need for manual intervention by dynamically integrating user feedback into the video content.
18. The computer system of claim 16 , wherein to determine that the uncommon action occurs further comprises program instructions, stored on the one or more computer readable storage media, to: monitor individual instances of user actions with respect to the received online video for a repeating pattern, wherein the user actions includes a change to a rate of playback and a keyword search; increment a frequency of occurrence associated with the individual instances of user actions; determine whether the frequency of occurrence associated with the individual instances of user actions at least meets a threshold; and responsive to determining that the frequency of occurrence associated with the individual instance of the user actions at least meets the threshold, identify the individual instance of user actions as an uncommon action.
This invention relates to a computer system for detecting and analyzing uncommon user actions during online video playback. The system addresses the problem of identifying patterns of user behavior that deviate from typical interactions, such as adjusting playback speed or performing keyword searches, which may indicate user confusion, disinterest, or other engagement issues. The system monitors individual instances of user actions related to online video playback, including changes in playback rate and keyword searches. It tracks the frequency of these actions to detect repeating patterns. When the frequency of a particular action meets or exceeds a predefined threshold, the system identifies that action as an uncommon behavior. This identification helps content providers or analysts understand user engagement and optimize video content accordingly. The system operates by storing program instructions on computer-readable storage media, which execute the monitoring, frequency tracking, and threshold comparison processes. The threshold ensures that only statistically significant deviations from normal behavior are flagged, reducing false positives. The identified uncommon actions can then be used to improve video design, navigation, or other aspects of the user experience. This approach enhances content delivery by adapting to user needs based on observed behavior patterns.
19. The computer system of claim 16 , wherein to receive one or more responses associated with the updated issue further comprises program instructions, stored on the one or more computer readable storage media, to: send a request for a response to the identified one or more concurrent users, wherein the request for the response includes the updated issue; receive one or more responses from the identified one or more concurrent users; and store the received one or more responses.
This invention relates to a computer system for managing collaborative issue resolution in a multi-user environment. The system addresses the challenge of efficiently gathering and processing responses from multiple users when addressing an issue, ensuring timely updates and maintaining a clear record of interactions. The computer system includes a processor and memory storing program instructions. The system identifies one or more concurrent users associated with an issue, updates the issue with new information, and sends a request for a response to these users. The request includes the updated issue details. The system then receives one or more responses from the identified users and stores these responses for future reference. This process ensures that all relevant users are promptly notified of updates and can contribute to resolving the issue. The system may also track the status of the issue, such as whether it is open, resolved, or pending, and may generate notifications to inform users of changes. The stored responses can be used to analyze the issue resolution process, identify trends, and improve future interactions. The system supports real-time collaboration, allowing multiple users to engage with the issue simultaneously, enhancing efficiency and accuracy in problem-solving.
Unknown
September 17, 2019
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